policies

PufferLib policies are standard PyTorch modules with optional utilities for observation processing and LSTM integration. The framework provides default architectures and tools while allowing full flexibility in policy design.

Skills
Scientific
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mkdir -p .claude/skills/policies && curl -fsSL https://doutorai.pt/data/lib/skills__policies.md -o .claude/skills/policies/SKILL.md

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Content

# PufferLib Policies Guide

## Overview

PufferLib policies are standard PyTorch modules with optional utilities for observation processing and LSTM integration. The framework provides default architectures and tools while allowing full flexibility in policy design.

## Policy Architecture

### Basic Policy Structure

```python
import torch
import torch.nn as nn
from pufferlib.pytorch import layer_init

class BasicPolicy(nn.Module):
    def __init__(self, observation_space, action_space):
        super().__init__()

        self.observation_space = observation_space
        self.action_space =

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